"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents

arXiv:2309.11653v2 Announce Type: replace-cross
Abstract: The widespread use of Large Language Model (LLM)-based conversational agents (CAs), especially in high-stakes domains, raises many privacy concerns. Building ethical LLM-based CAs that respect user privacy requires an in-depth understanding of the privacy risks that concern users the most. However, existing research, primarily model-centered, does not provide insight into users' perspectives. To bridge this gap, we analyzed sensitive disclosures in real-world ChatGPT conversations and conducted semi-structured interviews with 19 LLM-based CA users. We found …

agents arxiv benefits building cs.ai cs.cr cs.hc disclosure domains ethical fair game high language large large language model llm privacy privacy concerns privacy risks respect risks understanding user privacy